Artificial intelligence-powered assisted ranking of sibling embryos to increase first cycle pregnancy rate.

Journal: Reproductive biomedicine online
PMID: 38701632

Abstract

RESEARCH QUESTION: Could EMBRYOLY, an artificial intelligence embryo evaluation tool, assist embryologists to increase first cycle pregnancy rate and reduce cycles to pregnancy for patients?

Authors

  • Nina Dissler
    ImVitro, Paris, France, 130 Rue de Lourmel, 75015 Paris.
  • Daniela Nogueira
    INOVIE Fertilité, Institut de Fertilité La Croix Du Sud, Clinique la Croix du Sud, Toulouse, France.; Art Fertility Clinics, IVF laboratory, Abu Dhabi, United Arab Emirates.
  • Bertrand Keppi
    INOVIE Group, INOVIE Fertilié, Gen-Bio, 63100 Clermont-Ferrand, France.
  • Pierre Sanguinet
    INOVIE Group, INOVIE Fertilié, LaboSud, 34000 Montpellier, France.
  • Christophe Ozanon
    Cerballiance, 69005, Lyon, France.
  • Cendrine Geoffroy-Siraudin
    Hopital Saint Joseph, Service Médecine et biologie de la reproduction, 13285, Marseille, France.
  • Xavier Pollet-Villard
    MLAB Groupe, Centre d'Assistance Médicale à la Procréation Nataliance, Pôle Santé Oréliance, Saran, France.
  • Alexandra Boussommier-Calleja
    ImVitro, Paris, France, 130 Rue de Lourmel, 75015 Paris.. Electronic address: alexandra@im-vitro.com.

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